mirror of
https://github.com/open-mmlab/mmpretrain.git
synced 2025-06-03 14:59:18 +08:00
743ca2d602
* rebase * update docker and rm deprecated deployment tools * update docs * rebase Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
29 lines
1.1 KiB
Docker
29 lines
1.1 KiB
Docker
ARG PYTORCH="1.8.1"
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ARG CUDA="10.2"
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ARG CUDNN="7"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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# fetch the key refer to https://forums.developer.nvidia.com/t/18-04-cuda-docker-image-is-broken/212892/9
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub 32
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
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ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
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ENV CMAKE_PREFIX_PATH="(dirname(which conda))/../"
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RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Install MMCV
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RUN pip install openmim
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RUN mim install mmengine "mmcv>=2.0rc0"
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# Install MMClassification
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RUN conda clean --all
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RUN git clone https://github.com/open-mmlab/mmclassification.git
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WORKDIR ./mmclassification
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RUN git checkout 1.x
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RUN pip install --no-cache-dir -e .
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